Search Results

You are looking at 1 - 10 of 19 items for :

  • "principal component analysis" x
Clear All
V G Pluimakers Princess Máxima Centre for Paediatric Oncology, Utrecht, The Netherlands

Search for other papers by V G Pluimakers in
Google Scholar
PubMed
Close
,
M van Waas Department of Paediatric Oncology/Haematology, Erasmus MC–Sophia Children’s Hospital, Rotterdam, The Netherlands

Search for other papers by M van Waas in
Google Scholar
PubMed
Close
,
C W N Looman Department of Public Health, Erasmus MC, Rotterdam, The Netherlands

Search for other papers by C W N Looman in
Google Scholar
PubMed
Close
,
M P de Maat Department of Haematology, Erasmus MC, Rotterdam, The Netherlands

Search for other papers by M P de Maat in
Google Scholar
PubMed
Close
,
R de Jonge Department of Clinical Chemistry, Erasmus MC, Rotterdam, The Netherlands

Search for other papers by R de Jonge in
Google Scholar
PubMed
Close
,
P Delhanty Section Endocrinology, Department of Medicine, Erasmus MC, Rotterdam, The Netherlands

Search for other papers by P Delhanty in
Google Scholar
PubMed
Close
,
M Huisman Section Endocrinology, Department of Medicine, Erasmus MC, Rotterdam, The Netherlands

Search for other papers by M Huisman in
Google Scholar
PubMed
Close
,
F U S Mattace-Raso Section Geriatric Medicine, Department of Medicine, Erasmus MC, Rotterdam, The Netherlands

Search for other papers by F U S Mattace-Raso in
Google Scholar
PubMed
Close
,
M M van den Heuvel-Eibrink Princess Máxima Centre for Paediatric Oncology, Utrecht, The Netherlands

Search for other papers by M M van den Heuvel-Eibrink in
Google Scholar
PubMed
Close
, and
S J C M M Neggers Princess Máxima Centre for Paediatric Oncology, Utrecht, The Netherlands
Section Endocrinology, Department of Medicine, Erasmus MC, Rotterdam, The Netherlands

Search for other papers by S J C M M Neggers in
Google Scholar
PubMed
Close

, based on principal component analysis and vascular ultrasound measurements. Patients and methods Patients Patients were actively recruited as described before ( 3 ). Briefly, all long-term (5 or more years after treatment) adult survivors of

Open access
Jia Li Xiamen Diabetes Institute, The First Affiliated Hospital of Xiamen University, Xiamen, China
Department of Electronic Science, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, Xiamen, China

Search for other papers by Jia Li in
Google Scholar
PubMed
Close
,
Yan Zhao Xiamen Diabetes Institute, The First Affiliated Hospital of Xiamen University, Xiamen, China

Search for other papers by Yan Zhao in
Google Scholar
PubMed
Close
,
Caoxin Huang Xiamen Diabetes Institute, The First Affiliated Hospital of Xiamen University, Xiamen, China

Search for other papers by Caoxin Huang in
Google Scholar
PubMed
Close
,
Zheng Chen Xiamen Diabetes Institute, The First Affiliated Hospital of Xiamen University, Xiamen, China

Search for other papers by Zheng Chen in
Google Scholar
PubMed
Close
,
Xiulin Shi Xiamen Diabetes Institute, The First Affiliated Hospital of Xiamen University, Xiamen, China

Search for other papers by Xiulin Shi in
Google Scholar
PubMed
Close
,
Long Li Institute of Drug Discovery Technology, Ningbo University, Ningbo, China

Search for other papers by Long Li in
Google Scholar
PubMed
Close
,
Zhong Chen Department of Electronic Science, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, Xiamen, China

Search for other papers by Zhong Chen in
Google Scholar
PubMed
Close
, and
Xuejun Li Xiamen Diabetes Institute, The First Affiliated Hospital of Xiamen University, Xiamen, China

Search for other papers by Xuejun Li in
Google Scholar
PubMed
Close

. The XCMS software was employed to convert each data file into a matrix of detected peaks. Differences in metabolic profiles on LC-MS were determined by principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS

Open access
Li Jing College of Physical Education, Chaohu University, Anhui Province, China

Search for other papers by Li Jing in
Google Scholar
PubMed
Close
and
Wang Chengji College of Physical Education, Chaohu University, Anhui Province, China

Search for other papers by Wang Chengji in
Google Scholar
PubMed
Close

Metabolomics was used to explore the effect of exercise intervention on type 2 diabetes. The rat model of type 2 diabetes was induced by an injection of streptozocin (30 mg/kg), after fed with 8-week high-fat diet. The rats were divided into three groups: the control group, the diabetic model group (DM) and the diabetes + exercise group (DME). After exercise for 10 weeks, blood samples were collected to test biomedical indexes, and 24-h urine samples were collected for the metabolomics experiment. In the DME group, fasting blood glucose (FBG), both total cholesterol (TC) and total plasma triglycerides (TG), were decreased significantly, compared with those in the DM group. Based on gas chromatography-mass spectrometry (GC/MS), a urinary metabolomics method was used to study the mechanism of exercise intervention on diabetes mellitus. Based on the principal component analysis (PCA), it was found that the DM group and control group were separated into two different clusters. The DME group was located between the DM group and the control group, closer to the control group. Twelve significantly changed metabolites of diabetes mellitus were detected and identified, including glycolate, 4-methyl phenol, benzoic acid, 1H-indole, arabinitol, threitol, ribonic acid, malic acid, 2,3-dihydroxy-butanoic, aminomalonic acid, l-ascorbic acid and 3-hydroxy hexanedioic acid. After exercise, seven metabolites were significantly changed, compared with the control group, the relative contents of benzoic acid, aminomalonic acid, tetrabutyl alcohol and ribonucleic acid in the diabetic exercise group decreased significantly. The relative contents of 2,3-dihydroxybutyric acid, l-ascorbic acid and 3-hydroxy adipic acid increased significantly. l-ascorbic acid and aminomalonic acid which related with the oxidative stress were significantly regulated to normal. The results showed that exercise could display anti-hyperglycemic and anti-hyperlipidemic effects. The exercise had antioxidation function in preventing the occurrence of complications with diabetes mellitus to some extent. The work illustrates that the metabolomics method is a useful tool to study the mechanism of exercise treatment.

Open access
Andre Madsen Hormone Laboratory, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
Department of Growth and Reproduction, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark

Search for other papers by Andre Madsen in
Google Scholar
PubMed
Close
,
Anders Juul Department of Growth and Reproduction, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark

Search for other papers by Anders Juul in
Google Scholar
PubMed
Close
, and
Lise Aksglaede Department of Growth and Reproduction, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark

Search for other papers by Lise Aksglaede in
Google Scholar
PubMed
Close

analyses The native principal component analysis (PCA) function ‘prcomp()’ in R was applied to the SDS profiles of prepubertal controls and boys with KS in the dataset, as previously demonstrated ( 23 ). The ‘ggbiplot’ package was used to visualize the

Open access
Xiaohui Weng School of Mechanical and Aerospace Engineering, Jilin University, Changchun, China
Weihai Institute for Bionics, Jilin University, Weihai, China

Search for other papers by Xiaohui Weng in
Google Scholar
PubMed
Close
,
Gehong Li School of Mathematics, Jilin University, Changchun, China

Search for other papers by Gehong Li in
Google Scholar
PubMed
Close
,
Ziwei Liu Department of endocrinology, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, China

Search for other papers by Ziwei Liu in
Google Scholar
PubMed
Close
,
Rui Liu Department of VIP Unit, China-Japan Union Hospital of Jilin University, Changchun, China

Search for other papers by Rui Liu in
Google Scholar
PubMed
Close
,
Zhaoyang Liu Digital Intelligent Cockpit Department, Intelligent Connected Vehicle Development Institute, China FAW Group Co LTD, Changchun, China

Search for other papers by Zhaoyang Liu in
Google Scholar
PubMed
Close
,
Songyang Wang Digital Intelligent Cockpit Department, Intelligent Connected Vehicle Development Institute, China FAW Group Co LTD, Changchun, China

Search for other papers by Songyang Wang in
Google Scholar
PubMed
Close
,
Shishun Zhao School of Mathematics, Jilin University, Changchun, China

Search for other papers by Shishun Zhao in
Google Scholar
PubMed
Close
,
Xiaotong Ma School of Mathematics, Jilin University, Changchun, China

Search for other papers by Xiaotong Ma in
Google Scholar
PubMed
Close
, and
Zhiyong Chang Weihai Institute for Bionics, Jilin University, Weihai, China
College of Biological and Agricultural Engineering, Jilin University, Changchun, China
Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, China

Search for other papers by Zhiyong Chang in
Google Scholar
PubMed
Close

. A pattern recognition method based on principal component analysis (PCA) was used to identify gaseous VOCs in 120 healthy volunteers and 120 diabetic patients to study the ability of features to distinguish health status. PCA results showed that 60

Open access
Marie Lindhardt Ljubicic Department of Growth and Reproduction, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark
International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark

Search for other papers by Marie Lindhardt Ljubicic in
Google Scholar
PubMed
Close
,
Trine Holm Johannsen Department of Growth and Reproduction, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark
International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark

Search for other papers by Trine Holm Johannsen in
Google Scholar
PubMed
Close
,
Margit Bistrup Fischer Department of Growth and Reproduction, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark
International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark

Search for other papers by Margit Bistrup Fischer in
Google Scholar
PubMed
Close
,
Emmie N Upners Department of Growth and Reproduction, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark
International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark

Search for other papers by Emmie N Upners in
Google Scholar
PubMed
Close
,
Alexander S Busch Department of Growth and Reproduction, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark
International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark

Search for other papers by Alexander S Busch in
Google Scholar
PubMed
Close
,
Katharina M Main Department of Growth and Reproduction, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark
International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark

Search for other papers by Katharina M Main in
Google Scholar
PubMed
Close
,
Anna-Maria Andersson Department of Growth and Reproduction, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark
International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark

Search for other papers by Anna-Maria Andersson in
Google Scholar
PubMed
Close
,
Casper P Hagen Department of Growth and Reproduction, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark
International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark

Search for other papers by Casper P Hagen in
Google Scholar
PubMed
Close
, and
Anders Juul Department of Growth and Reproduction, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark
International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark

Search for other papers by Anders Juul in
Google Scholar
PubMed
Close

principal component analysis on clinical and biochemical parameters exemplified in children with congenital adrenal hyperplasia . Frontiers in Endocrinology 2021 12 652888 . ( https://doi.org/10.3389/fendo.2021.652888 ) 16 van der Straaten S Springer

Open access
Ju-shuang Li Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China

Search for other papers by Ju-shuang Li in
Google Scholar
PubMed
Close
,
Tao Wang Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China

Search for other papers by Tao Wang in
Google Scholar
PubMed
Close
,
Jing-jing Zuo Center on Clinical Research, School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China

Search for other papers by Jing-jing Zuo in
Google Scholar
PubMed
Close
,
Cheng-nan Guo Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China

Search for other papers by Cheng-nan Guo in
Google Scholar
PubMed
Close
,
Fang Peng Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China

Search for other papers by Fang Peng in
Google Scholar
PubMed
Close
,
Shu-zhen Zhao Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China

Search for other papers by Shu-zhen Zhao in
Google Scholar
PubMed
Close
,
Hui-hui Li Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China

Search for other papers by Hui-hui Li in
Google Scholar
PubMed
Close
,
Xiang-qing Hou Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China

Search for other papers by Xiang-qing Hou in
Google Scholar
PubMed
Close
,
Yuan Lan Center on Clinical Research, School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China
Department of Ophthalmology, Pingxiang People’s Hospital of Southern Medical University, Pingxiang, Jiangxi, China

Search for other papers by Yuan Lan in
Google Scholar
PubMed
Close
,
Ya-ping Wei Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China

Search for other papers by Ya-ping Wei in
Google Scholar
PubMed
Close
,
Chao Zheng The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China

Search for other papers by Chao Zheng in
Google Scholar
PubMed
Close
, and
Guang-yun Mao Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China
Center on Clinical Research, School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China

Search for other papers by Guang-yun Mao in
Google Scholar
PubMed
Close

, we additionally performed a multiple principal component analysis (PCA) on n-6 PUFAs to total n-3 PUFAs. As we could see in Fig. 2 , the top two principle components (PC) could explain 80.8% (62.0 and 18.8% for the 1st and 2nd PC, respectively) of

Open access
Charlotte Höybye Department of Endocrinology, Department of Molecular Medicine and Surgery, Metabolism and Diabetology, Karolinska University Hospital, 171 76 Stockholm, Sweden
Department of Endocrinology, Department of Molecular Medicine and Surgery, Metabolism and Diabetology, Karolinska University Hospital, 171 76 Stockholm, Sweden

Search for other papers by Charlotte Höybye in
Google Scholar
PubMed
Close
,
Erik Wahlström Department of Endocrinology, Department of Molecular Medicine and Surgery, Metabolism and Diabetology, Karolinska University Hospital, 171 76 Stockholm, Sweden

Search for other papers by Erik Wahlström in
Google Scholar
PubMed
Close
,
Petra Tollet-Egnell Department of Endocrinology, Department of Molecular Medicine and Surgery, Metabolism and Diabetology, Karolinska University Hospital, 171 76 Stockholm, Sweden

Search for other papers by Petra Tollet-Egnell in
Google Scholar
PubMed
Close
, and
Gunnar Norstedt Department of Endocrinology, Department of Molecular Medicine and Surgery, Metabolism and Diabetology, Karolinska University Hospital, 171 76 Stockholm, Sweden

Search for other papers by Gunnar Norstedt in
Google Scholar
PubMed
Close

custom scripts. Statistical analyses The values are presented as median and range or means± s.e.m . For univariate data Student's t -test was used. All multivariate statistical analyses, i.e. principal component analysis (PCA) and orthogonal projections

Open access
Jyotsna S Jagai Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois at Chicago, Chicago, Illinois, USA

Search for other papers by Jyotsna S Jagai in
Google Scholar
PubMed
Close
,
Alison K Krajewski Oak Ridge Institute for Science and Education, U.S. Environmental Protection Agency, Center for Public Health and Environmental Assessment, Public Health and Environmental Systems Division, Chapel Hill, North Carolina, USA
U.S. Environmental Protection Agency, Center for Public Health and Environmental Assessment, Research Triangle Park, North Carolina, USA

Search for other papers by Alison K Krajewski in
Google Scholar
PubMed
Close
,
Kyla N Price Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA

Search for other papers by Kyla N Price in
Google Scholar
PubMed
Close
,
Danelle T Lobdell U.S. Environmental Protection Agency, Center for Public Health and Environmental Assessment, Research Triangle Park, North Carolina, USA

Search for other papers by Danelle T Lobdell in
Google Scholar
PubMed
Close
, and
Robert M Sargis Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA

Search for other papers by Robert M Sargis in
Google Scholar
PubMed
Close

index, water index, land index, built environment index, and sociodemographic index) were created by retaining the first component of a principal components analysis (PCA) that included all of the domain-specific variables. A list of variables and those

Open access
Shanlee M Davis Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA
eXtraOrdinarY Kids Clinic, Children's Hospital Colorado, Aurora, Colorado, USA

Search for other papers by Shanlee M Davis in
Google Scholar
PubMed
Close
,
Rhianna Urban Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, Minnesota, USA

Search for other papers by Rhianna Urban in
Google Scholar
PubMed
Close
,
Angelo D’Alessandro Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado, USA

Search for other papers by Angelo D’Alessandro in
Google Scholar
PubMed
Close
,
Julie A Reisz Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado, USA

Search for other papers by Julie A Reisz in
Google Scholar
PubMed
Close
,
Christine L Chan Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA

Search for other papers by Christine L Chan in
Google Scholar
PubMed
Close
,
Megan Kelsey Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA

Search for other papers by Megan Kelsey in
Google Scholar
PubMed
Close
,
Susan Howell Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA
eXtraOrdinarY Kids Clinic, Children's Hospital Colorado, Aurora, Colorado, USA

Search for other papers by Susan Howell in
Google Scholar
PubMed
Close
,
Nicole Tartaglia Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA
eXtraOrdinarY Kids Clinic, Children's Hospital Colorado, Aurora, Colorado, USA

Search for other papers by Nicole Tartaglia in
Google Scholar
PubMed
Close
,
Philip Zeitler Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA
eXtraOrdinarY Kids Clinic, Children's Hospital Colorado, Aurora, Colorado, USA

Search for other papers by Philip Zeitler in
Google Scholar
PubMed
Close
, and
Peter Baker II Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA

Search for other papers by Peter Baker II in
Google Scholar
PubMed
Close

used to generate a volcano plot identifying metabolites with a fold change >1.5 and FDR <0.05. To determine if a unique metabolome profile is present in KS, partial least squares – discriminant analysis (PLS-DA), a variant of principal component

Open access